AI
Intelligence that always degrades to rules
Courier recommendation, delay and EDD prediction, address scoring and network fraud — powered by the courier-performance data only a multi-tenant platform accumulates. Every model falls back to a transparent rules baseline, so you're never at the mercy of a black box.
Try it live
Courier recommendation, explained
Describe a shipment. The engine ranks carriers on delivery speed, cost and COD-return risk — and when you flip to the rules baseline, you still get a sensible answer. That's the whole promise: AI that degrades to rules.
Success-adjusted ranking with a confidence score and explanation.
Recommended · COD
Xpressbees
55%
confidence
3 days
Est. delivery
₹40
All-in rate
11%
RTO risk
- 1Xpressbees3d · ₹40 · 11% risk
- 2Delhivery3d · ₹43 · 11% risk
- 3Ecom Express3d · ₹42 · 11% risk
- 4DTDC3d · ₹39 · 12% risk
- 5Blue Dart3d · ₹68 · 11% risk
The problem today
Courier ranking biased by the aggregator's margin, static delivery promises, bad addresses causing RTOs, and no cross-merchant fraud signal.
How ShipFlux solves it
Explainable courier recommendations ('why this courier'), data-driven EDD per lane × courier, address validation at intake, and privacy-aware network fraud signals shared across tenants — each with a rules fallback and a kill-switch.
Explainable reco
'Why this courier' from lane performance and your own history — no pay-to-rank.
Data-driven EDD
Delivery dates computed from real events, embeddable at checkout.
Address intelligence
Validate, standardize and score addresses before the label prints.
Network fraud
Hashed, privacy-aware risk signals shared across all tenants.
How it works
Capture
Every shipment and tracking event feeds a courier-performance graph.
Learn
Models score couriers, delays, addresses and fraud per lane and pincode.
Explain
You see why — lane performance, your history — never a black box.
Fall back
If a model is off or unsure, a transparent rules baseline takes over.
A worked example
On a lane where one courier delivers 96% first-attempt and another 82%, the recommendation shows the gap and the reason — so you pick on outcomes, not on who paid for placement.
ShipFlux vs ClickPost
Full comparison →| Capability | ShipFlux | ClickPost |
|---|---|---|
| Self-serve, no sales call, no minimum volume | ||
| Autonomous NDR outreach (WhatsApp/IVR) |
Common questions
Every service degrades to a transparent rules baseline, with a kill-switch — you always get a usable answer.
Never. Recommendations are explainable and based on lane performance and your own outcomes.